Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abstract. We propose a new approach to collaborative filtering in mobile tourist information systems based on spatio-temporal proximity in social contexts. Users store ratings and ...
Alexandre de Spindler, Moira C. Norrie, Michael Gr...
Context-aware systems capture information from the attributes located within their surroundings and deal with different ways of interacting with the user in its environment. This p...
Numerous studies have examined the ability of query performance prediction methods to estimate a query’s quality for system effectiveness measures (such as average precision). ...
Claudia Hauff, Franciska de Jong, Diane Kelly, Lei...
WAIF is a new framework to facilitate easy user access for Internet users to relevant news items. WAIF supports new kinds of browsers, personalized filters, recommendation systems...
Dag Johansen, Robbert van Renesse, Fred B. Schneid...